Triple
T11037017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroes |
E260911
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Claire Bennet |
E818897
|
NE FINISHED |
How this triple was built (2 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: Claire Bennet | Statement: [Heroes, hasMainCharacter, Claire Bennet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Bennet Context triple: [Heroes, hasMainCharacter, Claire Bennet]
-
A.
Claire Bennet
chosen
Claire Bennet is a fictional high school cheerleader with regenerative healing powers from the television series "Heroes."
-
B.
Claire Bennett
Claire Bennett is the acerbic, grief-stricken woman living with chronic pain portrayed by Jennifer Aniston in the drama film "Cake."
-
C.
Claire Kincaid
Claire Kincaid is a fictional assistant district attorney on the television series "Law & Order," known for her idealism and moral conviction in prosecuting cases.
-
D.
Claire Littleton
Claire Littleton is a young, pregnant Australian survivor on the TV series "Lost," known for her evolving relationship with fellow castaway Charlie Pace and her struggles with motherhood and identity on the island.
-
E.
Claire
Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9c669608190af97c461beaf9f31 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.