Triple
T9937145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Mighty Heart |
E193986
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Peter Christelis
Peter Christelis is a film editor best known for his work on the drama film "A Mighty Heart."
|
E835681
|
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: Peter Christelis | Statement: [A Mighty Heart, editor, Peter Christelis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Christelis Context triple: [A Mighty Heart, editor, Peter Christelis]
-
A.
Peter Lepeniotis
Peter Lepeniotis is a Canadian animator, writer, and director best known for creating and directing the animated feature film "The Nut Job."
-
B.
Chris Tsangarides
Chris Tsangarides was a British record producer and engineer renowned for his work with prominent rock and heavy metal artists from the late 1970s onward.
-
C.
Andreas Chandris
Andreas Chandris was a Greek shipowner and businessman best known for founding the football club Olympiacos FC.
-
D.
Christos Tsountas
Christos Tsountas was a pioneering Greek archaeologist known for his influential excavations and studies of Mycenaean and Cycladic civilizations.
-
E.
Petros Koumoutsakos
Petros Koumoutsakos is a prominent computational scientist and engineer known for his pioneering work in fluid dynamics and multiscale simulation methods.
- 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: Peter Christelis Triple: [A Mighty Heart, editor, Peter Christelis]
Generated description
Peter Christelis is a film editor best known for his work on the drama film "A Mighty Heart."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Christelis Target entity description: Peter Christelis is a film editor best known for his work on the drama film "A Mighty Heart."
-
A.
Peter Lepeniotis
Peter Lepeniotis is a Canadian animator, writer, and director best known for creating and directing the animated feature film "The Nut Job."
-
B.
Chris Tsangarides
Chris Tsangarides was a British record producer and engineer renowned for his work with prominent rock and heavy metal artists from the late 1970s onward.
-
C.
Andreas Chandris
Andreas Chandris was a Greek shipowner and businessman best known for founding the football club Olympiacos FC.
-
D.
Christos Tsountas
Christos Tsountas was a pioneering Greek archaeologist known for his influential excavations and studies of Mycenaean and Cycladic civilizations.
-
E.
Petros Koumoutsakos
Petros Koumoutsakos is a prominent computational scientist and engineer known for his pioneering work in fluid dynamics and multiscale simulation methods.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e4e19881909879b394090d6629 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269e28f0081908244f9f469b15ec1 |
completed | April 5, 2026, 1:55 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:44 p.m.