Triple
T8791489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Lauder |
E209175
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Randall Flagg |
E192766
|
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: Randall Flagg | Statement: [Harold Lauder, allyOf, Randall Flagg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randall Flagg Context triple: [Harold Lauder, allyOf, Randall Flagg]
-
A.
Randall Flagg
chosen
Randall Flagg is a recurring demonic antagonist in Stephen King’s works, often depicted as a charismatic embodiment of chaos and evil.
-
B.
Salem Saberhagen
Salem Saberhagen is the wisecracking, sarcastic black cat who was once a witch punished to live as a feline in the Sabrina the Teenage Witch franchise.
-
C.
Kilgrave
Kilgrave is a Marvel Comics supervillain and primary antagonist in the Jessica Jones series, known for his terrifying ability to control minds.
-
D.
Dr. Nefario
Dr. Nefario is the elderly, gadget-inventing mad scientist who serves as Gru’s loyal but eccentric assistant in the Despicable Me franchise.
-
E.
Vecna
Vecna is a powerful, malevolent psychic villain in Stranger Things who serves as one of Eleven’s most dangerous supernatural adversaries.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8e6e4881909155c40c52bc082c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5220af84819095ddefd84fd9f369 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.