Triple
T6188474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Parker |
E138123
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Trigger
Trigger is a Canadian drama film featuring Molly Parker in a leading role.
|
E574652
|
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: Trigger | Statement: [Molly Parker, notableWork, Trigger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trigger Context triple: [Molly Parker, notableWork, Trigger]
-
A.
Trigger
Trigger was the famous golden palomino horse best known as Roy Rogers’ iconic movie and television mount in mid-20th-century Westerns.
-
B.
The Trigger
The Trigger is a science fiction novel by Michael P. Kube-McDowell (from a story by Arthur C. Clarke) that explores the social and political consequences of a technology capable of detonating or neutralizing explosives at a distance.
-
C.
Trace
Trace is a large-scale installation by Chinese artist Ai Weiwei composed of thousands of LEGO portraits depicting political prisoners and activists from around the world.
-
D.
Trieb
Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
E.
Hook
"Hook" is a track from PJ Harvey's critically acclaimed 1993 album "Rid of Me," showcasing her raw, intense alternative rock style.
- 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: Trigger Triple: [Molly Parker, notableWork, Trigger]
Generated description
Trigger is a Canadian drama film featuring Molly Parker in a leading role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trigger Target entity description: Trigger is a Canadian drama film featuring Molly Parker in a leading role.
-
A.
Trigger
Trigger was the famous golden palomino horse best known as Roy Rogers’ iconic movie and television mount in mid-20th-century Westerns.
-
B.
The Trigger
The Trigger is a science fiction novel by Michael P. Kube-McDowell (from a story by Arthur C. Clarke) that explores the social and political consequences of a technology capable of detonating or neutralizing explosives at a distance.
-
C.
Trace
Trace is a large-scale installation by Chinese artist Ai Weiwei composed of thousands of LEGO portraits depicting political prisoners and activists from around the world.
-
D.
Trieb
Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
E.
Hook
"Hook" is a track from PJ Harvey's critically acclaimed 1993 album "Rid of Me," showcasing her raw, intense alternative rock style.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062192c5481909eb41f8c5d1208a3 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f06c770819087e055cfe6c8b134 |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1bfb484ac8190903efdf4a18f3a1c |
completed | March 23, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1c03551008190af5e3427b4cdcd11 |
completed | March 23, 2026, 10:35 p.m. |
Created at: March 22, 2026, 4:19 p.m.