Triple
T9578696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treme |
E231112
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Albert Lambreaux
Albert Lambreaux is a fictional Mardi Gras Indian chief and community leader in post-Katrina New Orleans from the television drama series "Treme."
|
E809301
|
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: Albert Lambreaux | Statement: [Treme, hasMainCharacter, Albert Lambreaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Lambreaux Context triple: [Treme, hasMainCharacter, Albert Lambreaux]
-
A.
Gabriel Harris
Gabriel Harris is an American percussionist and musician best known for his work with his mother, folk singer and activist Joan Baez, as well as other world and folk music artists.
-
B.
Michael Ripps
Michael Ripps is a film editor known for his work on the movie "Stakeout."
-
C.
Tarus Mateen
Tarus Mateen is an American jazz bassist known for his versatile work in contemporary jazz and collaborations with leading modern improvisers.
-
D.
Henry Bowers
Henry Bowers is a sadistic teenage bully and one of the primary human antagonists in the 2017 horror film adaptation of Stephen King’s "It."
-
E.
Gary Starkweather
Gary Starkweather was an American engineer and inventor best known for creating the laser printer while working at Xerox.
- 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: Albert Lambreaux Triple: [Treme, hasMainCharacter, Albert Lambreaux]
Generated description
Albert Lambreaux is a fictional Mardi Gras Indian chief and community leader in post-Katrina New Orleans from the television drama series "Treme."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albert Lambreaux Target entity description: Albert Lambreaux is a fictional Mardi Gras Indian chief and community leader in post-Katrina New Orleans from the television drama series "Treme."
-
A.
Gabriel Harris
Gabriel Harris is an American percussionist and musician best known for his work with his mother, folk singer and activist Joan Baez, as well as other world and folk music artists.
-
B.
Michael Ripps
Michael Ripps is a film editor known for his work on the movie "Stakeout."
-
C.
Tarus Mateen
Tarus Mateen is an American jazz bassist known for his versatile work in contemporary jazz and collaborations with leading modern improvisers.
-
D.
Henry Bowers
Henry Bowers is a sadistic teenage bully and one of the primary human antagonists in the 2017 horror film adaptation of Stephen King’s "It."
-
E.
Gary Starkweather
Gary Starkweather was an American engineer and inventor best known for creating the laser printer while working at Xerox.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1615d093c8190940037e9e0842db5 |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d161e6a1308190932c8386e1c24f2e |
completed | April 4, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d165a8c80081909e4d0837cbaabf95 |
completed | April 4, 2026, 7:25 p.m. |
Created at: March 30, 2026, 8:05 p.m.