Triple
T3129544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man with the Iron Fists |
E65376
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Eli Roth |
E311059
|
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: Eli Roth | Statement: [The Man with the Iron Fists, writer, Eli Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eli Roth Context triple: [The Man with the Iron Fists, writer, Eli Roth]
-
A.
Eli Roth
chosen
Eli Roth is an American filmmaker and actor best known for directing horror films like "Hostel" and appearing in Quentin Tarantino's movies.
-
B.
Evan Goldberg
Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
-
C.
Adam Wingard
Adam Wingard is an American filmmaker best known for directing high-profile genre movies such as Godzilla vs. Kong and its sequel within the MonsterVerse franchise.
-
D.
Kevin Smith
Kevin Smith is an American filmmaker, actor, and comic book writer best known for creating the View Askewniverse films such as "Clerks," "Mallrats," and "Dogma."
-
E.
Vincenzo Natali
Vincenzo Natali is a Canadian filmmaker best known for directing the cult science fiction horror film "Cube" and other visually inventive genre movies.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada549aaa881908dcf92d20fa6f238 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7c70108190b61177d1581fc33f |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.