Triple
T10809529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Thorn |
E255058
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Damien |
E255057
|
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: Damien | Statement: [Robert Thorn, associatedWith, Damien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damien Context triple: [Robert Thorn, associatedWith, Damien]
-
A.
Damien
"Damien" is a horror-themed storytelling rap track by DMX, featuring a sinister conversation with a demonic figure that explores temptation, loyalty, and moral conflict.
-
B.
Damian
Damian is a masculine given name of Greek origin meaning "to tame" or "subdue," borne by various historical and contemporary figures.
-
C.
Damien Thorn
chosen
Damien Thorn is the sinister child Antichrist central to the horror film series "The Omen," whose seemingly innocent appearance masks a malevolent supernatural destiny.
-
D.
Damian Leigh
Damian Leigh is the flamboyant, witty, and openly gay high school student who serves as a key comedic and supportive friend in the 2004 teen comedy film "Mean Girls."
-
E.
Damián
Damián is a given name of Spanish origin, commonly used as a variant of the name Damian.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b6efc48190bb64b5a8fac843c4 |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15499158481908391f411420b19fc |
completed | April 16, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:18 p.m.