Triple

T30673212
Position Surface form Disambiguated ID Type / Status
Subject The Thing E780847 entity
Predicate alias P39 FINISHED
Object The Ever-Lovin’ Blue-Eyed Thing
The Ever-Lovin’ Blue-Eyed Thing is the rocky-skinned, super-strong member of Marvel’s Fantastic Four, known for his gruff demeanor and heroic heart.
 E1926397 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: The Ever-Lovin’ Blue-Eyed Thing | Statement: [The Thing, alias, The Ever-Lovin’ Blue-Eyed Thing]
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: The Ever-Lovin’ Blue-Eyed Thing
Triple: [The Thing, alias, The Ever-Lovin’ Blue-Eyed Thing]
Generated description
The Ever-Lovin’ Blue-Eyed Thing is the rocky-skinned, super-strong member of Marvel’s Fantastic Four, known for his gruff demeanor and heroic heart.

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_69f224a7fc208190a07d6d3879b31640 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68b159e3881908e7d125ae27eab41 completed May 2, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2870ff569881909368554e541ea05e completed June 9, 2026, 8:01 p.m.
NEDg Description generation batch_6a28746d3388819085e20ce2edd81aff completed June 9, 2026, 8:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2874e9397081908e0961c5915ed4b9 completed June 9, 2026, 8:17 p.m.
Created at: April 29, 2026, 8:32 p.m.