Triple
T4337928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim McGraw |
E97507
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Humble and Kind
"Humble and Kind" is a country song by Tim McGraw that delivers a heartfelt message about living with gratitude, empathy, and integrity.
|
E431311
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Humble and Kind | Statement: [Tim McGraw, notableWork, Humble and Kind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humble and Kind Context triple: [Tim McGraw, notableWork, Humble and Kind]
-
A.
Humble
"Humble" is a hit hip-hop single best known as one of Kendrick Lamar’s signature songs, produced by Mike Will Made-It.
-
B.
Ever Gentle
Ever Gentle is a large Evergreen Marine-operated container ship belonging to the same class as the famously wedged Suez Canal vessel Ever Given.
-
C.
The Sincerity
The Sincerity is an English rendering of Surah Al-Ikhlas, a short but central chapter of the Qur’an that emphasizes the absolute oneness and uniqueness of God.
-
D.
How Kind of You
"How Kind of You" is a reflective, understated song by Paul McCartney from his 2005 album "Chaos and Creation in the Backyard."
-
E.
Only Goodness
Only Goodness is a short story by Jhumpa Lahiri that appears in her collection "Unaccustomed Earth," exploring themes of family, guilt, and cultural identity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Humble and Kind Triple: [Tim McGraw, notableWork, Humble and Kind]
Generated description
"Humble and Kind" is a country song by Tim McGraw that delivers a heartfelt message about living with gratitude, empathy, and integrity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Humble and Kind Target entity description: "Humble and Kind" is a country song by Tim McGraw that delivers a heartfelt message about living with gratitude, empathy, and integrity.
-
A.
Humble
"Humble" is a hit hip-hop single best known as one of Kendrick Lamar’s signature songs, produced by Mike Will Made-It.
-
B.
Ever Gentle
Ever Gentle is a large Evergreen Marine-operated container ship belonging to the same class as the famously wedged Suez Canal vessel Ever Given.
-
C.
The Sincerity
The Sincerity is an English rendering of Surah Al-Ikhlas, a short but central chapter of the Qur’an that emphasizes the absolute oneness and uniqueness of God.
-
D.
How Kind of You
"How Kind of You" is a reflective, understated song by Paul McCartney from his 2005 album "Chaos and Creation in the Backyard."
-
E.
Only Goodness
Only Goodness is a short story by Jhumpa Lahiri that appears in her collection "Unaccustomed Earth," exploring themes of family, guilt, and cultural identity.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516c621881909f094d040d4805e9 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0ace26881908cfc7950dc7a6cf8 |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d241198c8190a14308e38b0778b3 |
completed | March 14, 2026, 9:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d2af9330819081aab93fe24d3611 |
completed | March 14, 2026, 9:27 p.m. |
Created at: March 12, 2026, 11:14 p.m.