Triple
T12767962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dish |
E305172
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Graeme Wood
Graeme Wood is a cinematographer best known for his work on the Australian film "The Dish."
|
E1002555
|
NE FINISHED |
How this triple was built (4 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: Graeme Wood | Statement: [The Dish, cinematographyBy, Graeme Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graeme Wood Context triple: [The Dish, cinematographyBy, Graeme Wood]
-
A.
Graeme Wood
Graeme Wood is an Australian entrepreneur best known as the founder of the online travel booking company Wotif.com.
-
B.
Tom Reese
Tom Reese was an American character actor known for his tough-guy roles in numerous Westerns and television series from the 1950s through the 1980s.
-
C.
Bret Stephens
Bret Stephens is an American conservative journalist and columnist known for his incisive political commentary and foreign policy analysis.
-
D.
Gareth Porter
Gareth Porter is an American investigative journalist and historian known for his critical reporting on U.S. foreign policy and national security issues.
-
E.
Michael Tomasky
Michael Tomasky is an American journalist, author, and political commentator known for his liberal analysis and leadership roles at prominent opinion magazines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Graeme Wood Triple: [The Dish, cinematographyBy, Graeme Wood]
Generated description
Graeme Wood is a cinematographer best known for his work on the Australian film "The Dish."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graeme Wood Target entity description: Graeme Wood is a cinematographer best known for his work on the Australian film "The Dish."
-
A.
Graeme Wood
Graeme Wood is an Australian entrepreneur best known as the founder of the online travel booking company Wotif.com.
-
B.
Tom Reese
Tom Reese was an American character actor known for his tough-guy roles in numerous Westerns and television series from the 1950s through the 1980s.
-
C.
Bret Stephens
Bret Stephens is an American conservative journalist and columnist known for his incisive political commentary and foreign policy analysis.
-
D.
Gareth Porter
Gareth Porter is an American investigative journalist and historian known for his critical reporting on U.S. foreign policy and national security issues.
-
E.
Michael Tomasky
Michael Tomasky is an American journalist, author, and political commentator known for his liberal analysis and leadership roles at prominent opinion magazines.
- F. None of above. chosen
Provenance (5 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f750a08190abf6122baa579bc4 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6890782c48190ae93866cf39b1c25 |
completed | May 2, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68976b60881908abf5b69b8c37e6e |
completed | May 2, 2026, 11:32 p.m. |
Created at: April 9, 2026, 5:28 p.m.