Triple
T37152501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Chainsaw Massacre (2022 film) |
E920396
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Chris Thomas Devlin
Chris Thomas Devlin is an American screenwriter best known for writing the 2022 reboot of the horror franchise "Texas Chainsaw Massacre."
|
E2216625
|
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: Chris Thomas Devlin | Statement: [Texas Chainsaw Massacre (2022 film), screenwriter, Chris Thomas Devlin]
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: Chris Thomas Devlin Triple: [Texas Chainsaw Massacre (2022 film), screenwriter, Chris Thomas Devlin]
Generated description
Chris Thomas Devlin is an American screenwriter best known for writing the 2022 reboot of the horror franchise "Texas Chainsaw Massacre."
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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb308da2208190a803ca39ce3bade9 |
completed | May 6, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a402bb0bfd48190a931193da162e3f5 |
completed | June 27, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a402e7e79bc81909237840dbc7ac787 |
completed | June 27, 2026, 8:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a402f1d63488190854b93815f522d3a |
completed | June 27, 2026, 8:14 p.m. |
Created at: May 3, 2026, 4:15 p.m.