Triple
T19154017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colm Garan Hart Thomas |
E468879
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Garan
Garan is a given name used as the middle name of Colm Hart Thomas.
|
E1360831
|
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: Garan | Statement: [Colm Garan Hart Thomas, middleName, Garan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garan Context triple: [Colm Garan Hart Thomas, middleName, Garan]
-
A.
Gnaar
Gnaar is a one-eyed, horned alien creature that serves as one of the most iconic and frequently encountered enemies in the Serious Sam video game series.
-
B.
Garon
Garon is the middle name of Jesse Garon Presley, the stillborn identical twin brother of Elvis Presley.
-
C.
Garagay
Garagay is an important archaeological site in Peru known for its Early Horizon ceremonial architecture and elaborate polychrome friezes associated with early Andean religious traditions.
-
D.
Gardo
Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
-
E.
Gararu
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
- 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: Garan Triple: [Colm Garan Hart Thomas, middleName, Garan]
Generated description
Garan is a given name used as the middle name of Colm Hart Thomas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garan Target entity description: Garan is a given name used as the middle name of Colm Hart Thomas.
-
A.
Gnaar
Gnaar is a one-eyed, horned alien creature that serves as one of the most iconic and frequently encountered enemies in the Serious Sam video game series.
-
B.
Garon
Garon is the middle name of Jesse Garon Presley, the stillborn identical twin brother of Elvis Presley.
-
C.
Garagay
Garagay is an important archaeological site in Peru known for its Early Horizon ceremonial architecture and elaborate polychrome friezes associated with early Andean religious traditions.
-
D.
Gardo
Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
-
E.
Gararu
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb81bf08190b0352137eb4a5763 |
completed | April 20, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f256821081908b69afd367040866 |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f303c4fc8190a9a972dd1561bc84 |
completed | May 15, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4039ca881908679e5da604eea50 |
completed | May 15, 2026, 10:22 a.m. |
Created at: April 10, 2026, 12:06 p.m.