Triple
T15226301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friends |
E363886
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Anna Lee, the Healer
"Anna Lee, the Healer" is a song by the rock band Friends.
|
E1145147
|
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: Anna Lee, the Healer | Statement: [Friends, hasTrack, Anna Lee, the Healer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Lee, the Healer Context triple: [Friends, hasTrack, Anna Lee, the Healer]
-
A.
Helena De'Wend
Helena De'Wend is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle," which satirizes daytime talk shows and celebrity culture.
-
B.
Martha of Tao
Martha of Tao was a medieval Georgian noblewoman and queen consort, known primarily as the wife of King Bagrat III of Georgia and a member of the influential Tao-Klarjeti aristocracy.
-
C.
Gwendolyn
Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
-
D.
Bethia
Bethia was the original name of the British merchant vessel that was later purchased by the Royal Navy and renamed HMS Bounty, famed for the 1789 mutiny.
-
E.
Alma Dray
Alma Dray is a French Interpol agent and key investigator in the heist thriller film "Now You See Me."
- 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: Anna Lee, the Healer Triple: [Friends, hasTrack, Anna Lee, the Healer]
Generated description
"Anna Lee, the Healer" is a song by the rock band Friends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Lee, the Healer Target entity description: "Anna Lee, the Healer" is a song by the rock band Friends.
-
A.
Helena De'Wend
Helena De'Wend is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle," which satirizes daytime talk shows and celebrity culture.
-
B.
Martha of Tao
Martha of Tao was a medieval Georgian noblewoman and queen consort, known primarily as the wife of King Bagrat III of Georgia and a member of the influential Tao-Klarjeti aristocracy.
-
C.
Gwendolyn
Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
-
D.
Bethia
Bethia was the original name of the British merchant vessel that was later purchased by the Royal Navy and renamed HMS Bounty, famed for the 1789 mutiny.
-
E.
Alma Dray
Alma Dray is a French Interpol agent and key investigator in the heist thriller film "Now You See Me."
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078bb32881909927561c6c072546 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd379ac081909ebb3a18c2ee3b3c |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedf0fd0208190a24dee813fd5e2e9 |
completed | May 9, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee01d74a48190a9134f9e238dc27e |
completed | May 9, 2026, 7:19 a.m. |
Created at: April 10, 2026, 3:12 a.m.