Triple
T35470506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Montgomery |
E1025193
|
entity |
| Predicate | hasWorkedOn |
P922
|
FINISHED |
| Object |
Justice League animated films
The Justice League animated films are a series of DC Comics-based movies that feature the iconic superhero team in interconnected, action-driven stories produced primarily by Warner Bros. Animation.
|
E2142786
|
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: Justice League animated films | Statement: [Lauren Montgomery, hasWorkedOn, Justice League animated films]
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: Justice League animated films Triple: [Lauren Montgomery, hasWorkedOn, Justice League animated films]
Generated description
The Justice League animated films are a series of DC Comics-based movies that feature the iconic superhero team in interconnected, action-driven stories produced primarily by Warner Bros. Animation.
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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f796afecd48190bf2aaff09c92a065 |
completed | May 3, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3840381efc8190a1fefc74c15050a5 |
completed | June 21, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_6a3842e416b881908db482cd2158c027 |
completed | June 21, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a384377c2508190ae6a25dc657b84ab |
completed | June 21, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:04 p.m.