Triple
T20955931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claire of the Sea Light |
E516099
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Max Senior Ardin
Max Senior Ardin is a character in Edwidge Danticat’s novel "Claire of the Sea Light," which explores interconnected lives in a Haitian seaside town.
|
E1459618
|
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: Max Senior Ardin | Statement: [Claire of the Sea Light, hasCharacter, Max Senior Ardin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Senior Ardin Context triple: [Claire of the Sea Light, hasCharacter, Max Senior Ardin]
-
A.
Stephen Frank
Stephen Frank was an early American pioneer after whom the city of Frankfort, Kentucky, is named.
-
B.
Frank Nicotero
Frank Nicotero is an American comedian and television host known for his work on game shows and stand-up comedy.
-
C.
Sam Oliver
Sam Oliver is the hapless young man who becomes a soul-collecting bounty hunter for the Devil in the supernatural comedy TV series "Reaper."
-
D.
Vincent Talbot
Vincent Talbot is the scheming, villainous warlock and main antagonist in the comedy-horror film "Elvira, Mistress of the Dark."
-
E.
Gregory Bernstein
Gregory Bernstein is a film and television screenwriter known for his work on projects such as the political thriller "Official Secrets."
- 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: Max Senior Ardin Triple: [Claire of the Sea Light, hasCharacter, Max Senior Ardin]
Generated description
Max Senior Ardin is a character in Edwidge Danticat’s novel "Claire of the Sea Light," which explores interconnected lives in a Haitian seaside town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Max Senior Ardin Target entity description: Max Senior Ardin is a character in Edwidge Danticat’s novel "Claire of the Sea Light," which explores interconnected lives in a Haitian seaside town.
-
A.
Stephen Frank
Stephen Frank was an early American pioneer after whom the city of Frankfort, Kentucky, is named.
-
B.
Frank Nicotero
Frank Nicotero is an American comedian and television host known for his work on game shows and stand-up comedy.
-
C.
Sam Oliver
Sam Oliver is the hapless young man who becomes a soul-collecting bounty hunter for the Devil in the supernatural comedy TV series "Reaper."
-
D.
Vincent Talbot
Vincent Talbot is the scheming, villainous warlock and main antagonist in the comedy-horror film "Elvira, Mistress of the Dark."
-
E.
Gregory Bernstein
Gregory Bernstein is a film and television screenwriter known for his work on projects such as the political thriller "Official Secrets."
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6b19048190b266ed24f6fc1a97 |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092794c7d08190a2b8146a2379b7bd |
completed | May 17, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_6a0928b4be448190bd862c8f971e61d9 |
completed | May 17, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0929734a5c8190911e54b601118bae |
completed | May 17, 2026, 2:35 a.m. |
Created at: April 16, 2026, 1:28 p.m.