Triple
T8918808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Creed |
E212358
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Gage Creed |
E212361
|
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: Gage Creed | Statement: [Louis Creed, child, Gage Creed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gage Creed Context triple: [Louis Creed, child, Gage Creed]
-
A.
Gage Creed
chosen
Gage Creed is a young boy whose tragic death and supernatural resurrection drive the central horror and emotional conflict in Stephen King’s novel "Pet Sematary."
-
B.
Evan Reilly
Evan Reilly is a television writer and producer best known for his work on series like "Ballers" and "The Walking Dead."
-
C.
Alec Hardison
Alec Hardison is a brilliant, pop-culture-savvy hacker and tech expert who handles all things digital and logistical for the Leverage crew.
-
D.
Aidan Murphy
Aidan Murphy is the Irish actor better known professionally as Aidan Gillen, recognized for roles in series like "The Wire" and "Game of Thrones."
-
E.
Alex Cahill
Alex Cahill is a key supporting character in the television series "Walker, Texas Ranger," serving as an assistant district attorney and Walker’s close ally and love interest.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6613639881909090d060f388a865 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba49d65c8190b9d9908822198cc0 |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:56 p.m.